One of the most common approaches are pro- and anti-saccade tasks. There are several experimental paradigms that are typically used to determine visual behavior with eye trackers. The ease-of-use, accuracy, and affordability of eye trackers has since improved rather dramatically in the time since then.Įye tracking has revealed significant differences between control populations and people with schizophrenia, bipolar disorder, mild cognitive impairment (MCI), Alzheimer’s disease, multiple sclerosis, Autism, Parkinson’s disease, and ADHD. It was found, albeit inconsistently, that schizophrenic eye velocity differed to non-schizophrenic controls. Using the “ Dodge Photochronograph” – a method of photographing the reflection of the cornea – the eye movements in response to viewing numerals was recorded. One of the first studies using an eye tracker in a medical diagnosis context took place over a hundred years ago, in 1908. The focus below is primarily on how future research could robustly identify biomarkers of neurological diseases or psychiatric disorders, as diagnosis is often more undefined in these cases, compared to other diseases in which a cause has been directly identified. While much research remains to be done, there are signs of how such devices as eye trackers, EEG, EMG, and ECG can contribute to the early detection of diseases and disorders.īelow, we go through some of the ways in which these technologies can be applied to improve both diagnostic accuracy and availability. This has created a perfect opportunity for new technological advances to help reduce the burden of diagnostic work.
#Future diagnostics software#
Technological progress has afforded advancement not only in tools’ design and specifications, but also in the software within them. Similar to many fields, the more technology can do, the more we can do. As Harezlak and Kasprowski state in a recent article: “The performance and quality of medical procedures and treatments are inextricably linked to technological development”.
#Future diagnostics drivers#
There are several approaches to improving diagnostics, but one of the leading drivers of change in this area is technology. Finding ways to increase the ease, accessibility, and affordability of reliable medical tests is clearly a worthwhile goal to pursue. Medical diagnosis is also a costly affair, with around 10% of all medical costs being dedicated to diagnosis, a number that will continue to grow in the coming years. Getting the right diagnosis quickly and easily is a central goal of medical science for obvious reasons: it benefits the patient by ensuring the right care is given as soon as possible, and saves time for the diagnostician, allowing them to attend to more patients.
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